Machine Learning Engineer(DK1JO251111E)

Pune - India

Monthly Salary: Not Disclosed

Posted on: 19 hours ago

Vacancies: 1 Vacancy

Job Summary

We are looking for a Machine Learning Engineer with strong expertise in R&D-driven algorithm development statistical modeling and preferably a solid understanding of vehicle (automotive) behavior across both EV (electric vehicles) and ICE (internal combustion engine) powertrains.

The role focuses on designing and building core predictive algorithms that analyze how vehicle usage patterns influence health efficiency and cost translating these insights into actionable intelligence across the OXRED platform.

Key Responsibilities

Algorithm Development (R&D Focus)

Research formulate and develop new algorithms for EV and ICE vehicles across modules such as Battery/Engine Health Models Predictive Maintenance Charging Optimization Financial Forecasting and more.
Build physics-informed or hybrid ML models combining statistical rule-based and deep learning methods.
Run controlled experiments simulations and ablation studies.

Statistical Modelling & Predictive Analysis

Develop statistical models to quantify how different vehicle usage patterns affect battery health engine health degradation and energy consumption.
Fine-tune existing models and develop analysis including Time-series and Bayesian models for predicting SOH RUL maintenance cycles and failure probabilities.
Design feature engineering pipelines for large-scale telematics and IoT sensor data.
Validate results rigorously using statistical tests and real-world dataset benchmarking.

Vehicle Domain Analytics

Apply EV and ICE domain knowledge to build interpretable reliable models.
Understand vehicle operating conditions charging/usage profiles degradation behaviors and maintenance patterns.
Work closely with EV experts to translate domain insights into model features and algorithmic strategies.

Deployment & Integration

Implement scalable pipelines using Python FastAPI Docker and cloud-native infrastructure.
Work with data engineering and platform teams to optimize data flow feature stores and model latency.
Partner with product teams to convert models into production-ready APIs for customers.

Qualifications :

Technical:

Strong proficiency in statistical modeling including regression time-series Bayesian models survival analysis uncertainty quantification etc.
4-8 years of hands-on experience developing machine learning models in Python with tools like NumPy Pandas Scikit-learn Statsmodels PyTorch/TensorFlow.
Experience designing end-to-end ML pipelines from experimentation to deployment.
Solid understanding of data preprocessing missing data handling sensor signal analysis and feature engineering.

Preferred Qualifications:

Desirable Skills

Prior working experience in EV analytics automotive systems telematics or battery/engine modeling.
Good understanding of EV concepts such as SOH SOC degradation charging patterns thermal behavior etc.
Familiarity with ICE vehicle systems maintenance cycles fault patterns and performance indicators.
Ability to translate multi-step complex technical solutions into reproducible documented algorithms.

General Skills

Excellent problem-solving documentation and analytical skills.
Ability to work in cross-functional teams with product engineering and domain experts.
Comfortable working in a fast-paced iterative environment.

Additional Information :

Why Join Us:

Work on an ecosystem of cutting-edge products combining web tech automation and AI.
Directly influence product architecture and team growth.
Engage with leading automotive and AI-driven innovation challenges.

Remote working
** Looking for developers outside India

Remote Work :

Employment Type :

Full-time

Algorithm Development (R&D Focus)

Research formulate and develop new algorithms for EV and ICE vehicles across modules such as Battery/Engine Health Models Predictive Maintenance Charging Optimization Financial Forecasting and more.
Build physics-informed or hybrid ML models combining statistical rule-based and deep learning methods.
Run controlled experiments simulations and ablation studies.

Statistical Modelling & Predictive Analysis

Develop statistical models to quantify how different vehicle usage patterns affect battery health engine health degradation and energy consumption.
Fine-tune existing models and develop analysis including Time-series and Bayesian models for predicting SOH RUL maintenance cycles and failure probabilities.
Design feature engineering pipelines for large-scale telematics and IoT sensor data.
Validate results rigorously using statistical tests and real-world dataset benchmarking.

Vehicle Domain Analytics

Apply EV and ICE domain knowledge to build interpretable reliable models.
Understand vehicle operating conditions charging/usage profiles degradation behaviors and maintenance patterns.
Work closely with EV experts to translate domain insights into model features and algorithmic strategies.

Deployment & Integration

Implement scalable pipelines using Python FastAPI Docker and cloud-native infrastructure.
Work with data engineering and platform teams to optimize data flow feature stores and model latency.
Partner with product teams to convert models into production-ready APIs for customers.

Qualifications :

Technical:

Strong proficiency in statistical modeling including regression time-series Bayesian models survival analysis uncertainty quantification etc.
4-8 years of hands-on experience developing machine learning models in Python with tools like NumPy Pandas Scikit-learn Statsmodels PyTorch/TensorFlow.
Experience designing end-to-end ML pipelines from experimentation to deployment.
Solid understanding of data preprocessing missing data handling sensor signal analysis and feature engineering.

Preferred Qualifications:

Desirable Skills

Prior working experience in EV analytics automotive systems telematics or battery/engine modeling.
Good understanding of EV concepts such as SOH SOC degradation charging patterns thermal behavior etc.
Familiarity with ICE vehicle systems maintenance cycles fault patterns and performance indicators.
Ability to translate multi-step complex technical solutions into reproducible documented algorithms.

General Skills

Excellent problem-solving documentation and analytical skills.
Ability to work in cross-functional teams with product engineering and domain experts.
Comfortable working in a fast-paced iterative environment.

Additional Information :

Why Join Us:

Work on an ecosystem of cutting-edge products combining web tech automation and AI.
Directly influence product architecture and team growth.
Engage with leading automotive and AI-driven innovation challenges.

Remote working
** Looking for developers outside India

Remote Work :

Employment Type :

Full-time

Key Skills

Industrial Maintenance
Machining
Mechanical Knowledge
CNC
Precision Measuring Instruments
Schematics
Maintenance
Hydraulics
Plastics Injection Molding
Programmable Logic Controllers
Manufacturing
Troubleshooting

Apply Now

About Company

DataKrew Pvt. Ltd.

About DatakrewDatakrew is a deep-tech IP-backed company, focusing on real-time EV battery analytics and diagnostics using IoT and AI. We are a global, remote-first team. Our goal is to serve one million EVs within the next 5 years, and as a company, touch a billion lives with technolo ... View more

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